Faulty Sensor Node Detection Using Round Trip Time and Discrete Paths in WSNs

R N Duche,N P Sarwade

doi:10.1155/2013/941489

Abstract

Wireless sensor networks (WSNs) with efficient and accurate design to increase the quality of service (QoS) have become a hot area of research. Implementing the efficient and accurate WSNs requires deployment of the large numbers of portable sensor nodes in the field. The quality of service of such networks is affected by lifetime and failure of sensor node. In order to improve the quality of service, the data from faulty sensor nodes has to be ignored or discarded in the decision-making process. Hence, detection of faulty sensor node is of prime importance. In the proposed method, discrete round trip paths (RTPs) are compared on the basis of round trip delay (RTD) time to detect the faulty sensor node. RTD protocol is implemented in NS2 software. WSNs with circular topology are simulated to determine the RTD time of discrete RTPs. Scalability of the proposed method is verified by simulating the WSNs with various sensor nodes.

Highlights

Wireless sensor networks (WSNs) consist of portable sensor nodes distributed in the field according to the requirement of specific application
Faulty sensor node is detected by comparing the specific round trip paths (RTPs) to which it belongs
Analysis time required for fault detection in WSNs with large numbers of sensor nodes by using linear RTPs will be more

Summary

Introduction

Wireless sensor networks (WSNs) consist of portable sensor nodes distributed in the field according to the requirement of specific application. Jiang [9] has suggested the fault detection based on neighbor nodes data analysis In this method, fault detection accuracy will decrease rapidly if the numbers of neighbor nodes to be diagnosed are small and the node’s failure ratio is high. Faulty sensor node is detected by simulating circular topology WSNs with RTD protocol. This method is tested for different numbers of sensor nodes in WSNs to verify the scalability.

Design Methodology

Implementation in Software

Simulation Result and Analysis

Conclusion